# News sentiment radar

Monitor market-moving news, social sentiment, filings, and price reaction with QVeris so agents can separate confirmed catalysts from noisy attention.

## Agent Install Policy

Agents must get explicit user confirmation before installing a skill, writing configuration, or changing the local environment.

1. Read this guide and the manifest: https://qveris.cn/skills/qveris-news-sentiment-radar/manifest.json
2. Explain to the user what will be installed and which QVeris API actions may be used.
3. Ask for explicit approval before running an install command or changing local configuration.
4. After approval, install the skill and run one starter prompt.

## Official GitHub Source

- Repository: https://github.com/QVerisAI/open-qveris-skills
- Skill path: qveris-news-sentiment-radar
- Skill source: https://github.com/QVerisAI/open-qveris-skills/tree/main/qveris-news-sentiment-radar
- Clone and inspect: `git clone https://github.com/QVerisAI/open-qveris-skills.git && cd open-qveris-skills/qveris-news-sentiment-radar`

## Install Commands

- OpenClaw: `openclaw skills install qveris-news-sentiment-radar`

## Starter Prompts

### Ticker radar
Summarize news and sentiment for one ticker.

```text
Use QVeris to build a 7-day news and sentiment radar for TSLA. Separate confirmed news, filing events, analyst or media narratives, social momentum, price reaction, and unresolved rumors. Include QVeris calls used and estimated credits.
```

### Watchlist radar
Scan a list for what changed today.

```text
Use QVeris to scan AAPL, NVDA, MSFT, AMD, and TSLA for the strongest news and sentiment changes today. Rank by market relevance, not article count.
```

### Rumor check
Check whether a market rumor has enough evidence.

```text
Use QVeris to check whether the rumor about this company has credible support. Call news, filings, quote reaction, and social signals, then label it confirmed, weak, or unsupported.
```

## QVeris API Actions

- Discover `POST /search`: Find company news, filings, social posts, search trend, and market reaction capabilities.
- Inspect `POST /tools/by-ids`: Check source recency, result fields, pagination, market coverage, and billing_rule before calling.
- Call `POST /tools/execute`: Call only the requested lookback window and convert raw items into signal categories.

## Estimated QVeris Usage

This workflow usually needs 5-20 paid Calls after free Discover and Inspect preflight. Cost depends on providers, ticker count, and time window.

- Typical paid Call executions: 5-20
- Planning estimate: 5-150 credits
- Free actions: Discover, Inspect
- Paid actions: Call
- Note: Ask for explicit approval before paid Calls. Inspect billing_rule for every selected capability and reduce scope if the estimate is too high.

## Related Cases

- [Use FMP with QVeris](https://qveris.cn/blog/qveris-fmp-finance) - Turn structured financial data into callable agent capabilities.
- [Twelve Data market capabilities](https://qveris.cn/blog/qveris-twelve-data) - Add market data coverage for global research and screening workflows.
- [OpenClaw A-share finance assistant](https://qveris.cn/blog/openclaw-a-shares-finance-assistant) - A practical workflow for source-backed A-share monitoring.

## Human Page

https://qveris.cn/skills/qveris-news-sentiment-radar